Day-Ahead Two-Stage Stochastic Scheduling of Integrated Energy System Considering Spatial-Temporal Correlated Scenarios of Wind Power

Shuyi Zhang, Qiuwei Wu, Jian Chen, Bo Pan, Gang Liu

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    This paper proposes a day-ahead two-stage stochastic scheduling method of integrated energy system considering the uncertainty and spatial-temporal correlation of wind power. An improved scenario generation and reduction method is proposed for the wind power of multiple wind farms. Aiming at wind power uncertainty, a two-stage coordination scheduling method is adopted. The first stage is to formulate output of units, while the second stage is to deal with different scenarios through reserves and adjustments of units. The coupling of different energy sources brought by flexible components and the cooperation between two stages are studied in detail. The simulation results show that the application of more reliable scenarios and two-stage scheduling can improve the economic benefits and wind power utilization, which verifies the effectiveness of this proposed method.
    Original languageEnglish
    Title of host publicationProceedings of 2021 IEEE 5th Conference on Energy Internet and Energy System Integration
    PublisherIEEE
    Publication date2021
    Pages1556-1561
    ISBN (Print)9781665434256
    DOIs
    Publication statusPublished - 2021
    Event2021 IEEE 5th Conference on Energy Internet and Energy System Integration - Jinyang Lake International Conference Center, Taiyuan, China
    Duration: 22 Oct 202125 Oct 2021
    Conference number: 5
    https://ieeexplore.ieee.org/xpl/conhome/9712847/proceeding

    Conference

    Conference2021 IEEE 5th Conference on Energy Internet and Energy System Integration
    Number5
    LocationJinyang Lake International Conference Center
    Country/TerritoryChina
    CityTaiyuan
    Period22/10/202125/10/2021
    Internet address

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